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Gear Selectivity

Gear Selectivity. All fishing or sampling gears are more or less selective. What is selectivity?. Sample this population with 2 gillnets of different mesh sizes. Gear Selectivity.

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Gear Selectivity

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  1. Gear Selectivity All fishing or sampling gears are more or less selective

  2. What is selectivity? Sample this population with 2 gillnets of different mesh sizes

  3. Gear Selectivity • The fish retained in a gear is usually only an unknown proportion of the various size classes available in the fished population. • Selectivity is a quantitative expression of this proportion and represented as a probability of capture of a certain size of fish in a certain size of mesh (or hook).

  4. Gear Selectivity • From observedcatches one can calculate the selection curves, which are the probabilities that a certain length is caught in a certain mesh size

  5. Gear Selectivity • Gillnet, hook, and trap selectivity can be indirectlyestimated from comparative data of observed catch frequencies across a series of mesh or hook sizes. • The general statistical model (SELECT) is described in Millar (1992), and the specific application on gillnets and hooks is described in Millar & Holst (1997) and Millar and Fryer (1999)

  6. Gear Selectivity • The principle of geometric similarity: Length of maximum retention (mean length) and spread of selection curve (SD) are both proportional to mesh size(Baranov 1948) With increasing mesh size there is a proportional increase in mean length and SD of the fish caught

  7. Pasgear 2 Version 2.3 (Build 31.10.2007) Jeppe Kolding and Åsmund Skålevik www.cdcf.no/data/pasgear

  8. Gear Selectivity – 5 models Normal location shift Normal scale shift Lognormal Gamma Bimodal normal scale shift μi = mean size (length) of fish caught in mesh size i = k1mi σi = standard deviation of the size of fish in mesh i = k2mi or αmi Lj = mean size of fish in size (length) class j

  9. Gear Selectivity – 5 models Only means are proportional to mesh size, spread is constant. Normal location shift Means and spread are proportional to mesh size (principle of geometric similarity). Normal scale shift Means and spread are proportional to mesh size but with asymmetrical retention modes (i.e. skewed distributions). Lognormal Means and spread are proportional to mesh size but with asymmetrical retention modes (i.e. skewed distributions). Gamma Bimodal normal scale shift Means and spread are proportional to mesh size but 2 different capture modes, i.e. fish wedged by the gills and entangled in the mesh sizes

  10. Gear Selectivity – Step 1 • Find the linear part of the mesh size range Exclude

  11. skewness Gear Selectivity – Step 2 • Evaluate appropriate model:

  12. Gear Selectivity – Step 2 • Evaluate appropriate model These plots assist in evaluating whether the mean and SD spread increase with mesh size, and what the degree of skewness is.

  13. Gear Selectivity – Step 3 • Estimate selection curve Probability = less than 1 Sum of all selection curves standardized to 1 Cut off level

  14. Gear Selectivity – Step 4 • Correct observed catches Correcting for gear selectivity can have significant effect when calculating total mortality or growth from length frequency data (FiSAT). With no correction mortality may be underestimated

  15. Correcting for gear selectivity Growth ?

  16. Export to FiSAT

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